Fig. 3From: Contrast-enhanced CT-based radiomics model for differentiating risk subgroups of thymic epithelial tumorsValuable radiomics feature selection of traditional risk grouping [LRT (Types A, AB and B1), HRT (Types B2 and B3), TC)] using LASSO regression. The optimal value of the lasso tuning parameter (alpha = 1.241) was found, and 16 features that corresponded to the optimal alpha value were extracted following coefficients on CECT imagesBack to article page